WBSA: Web Service for Bisulfite Sequencing Data Analysis

Whole-Genome Bisulfite Sequencing (WGBS) and genome-wide Reduced Representation Bisulfite Sequencing (RRBS) are widely used to study DNA methylation. However, data analysis is complicated, lengthy, and hampered by a lack of seamless analytical pipelines. To address these issues, we developed a convenient, stable, and efficient web service called Web Service for Bisulfite Sequencing Data Analysis (WBSA) to analyze bisulfate sequencing data. WBSA focuses on not only CpG methylation, which is the most common biochemical modification in eukaryotic DNA, but also non-CG methylation, which have been observed in plants, iPS cells, oocytes, neurons and stem cells of human. WBSA comprises three main modules as follows: WGBS data analysis, RRBS data analysis, and differentially methylated region (DMR) identification. The WGBS and RRBS modules execute read mapping, methylation site identification, annotation, and advanced analysis, whereas the DMR module identifies actual DMRs and annotates their correlations to genes. WBSA can be accessed and used without charge either online or local version. WBSA also includes the executables of the Portable Batch System (PBS) and standalone versions that can be downloaded from the website together with the installation instructions. WBSA is available at no charge for academic users at http://wbsa.big.ac.cn.

[1]  B. Langmead,et al.  BSmooth: from whole genome bisulfite sequencing reads to differentially methylated regions , 2012, Genome Biology.

[2]  Saurabh Baheti,et al.  SAAP-RRBS: streamlined analysis and annotation pipeline for reduced representation bisulfite sequencing , 2012, Bioinform..

[3]  R. Durbin,et al.  A Bayesian deconvolution strategy for immunoprecipitation-based DNA methylome analysis , 2008, Nature Biotechnology.

[4]  Natalie Jäger,et al.  Genome-wide mapping of DNA methylation: a quantitative technology comparison , 2010, Nature Biotechnology.

[5]  Michael Q. Zhang,et al.  Updates to the RMAP short-read mapping software , 2009, Bioinform..

[6]  David Serre,et al.  MBD-isolated Genome Sequencing provides a high-throughput and comprehensive survey of DNA methylation in the human genome , 2009, Nucleic acids research.

[7]  H. Pitot,et al.  CpG PatternFinder: a Windows-based utility program for easy and rapid identification of the CpG methylation status of DNA. , 2007, BioTechniques.

[8]  G. Crooks,et al.  WebLogo: a sequence logo generator. , 2004, Genome research.

[9]  Richard Durbin,et al.  Sequence analysis Fast and accurate short read alignment with Burrows – Wheeler transform , 2009 .

[10]  L. Bulla,et al.  Genomic imprinting: the influence of differential methylation in the two sexes , 2010, Experimental biology and medicine.

[11]  M. Esteller Cancer epigenomics: DNA methylomes and histone-modification maps , 2007, Nature Reviews Genetics.

[12]  Francine E. Garrett-Bakelman,et al.  methylKit: a comprehensive R package for the analysis of genome-wide DNA methylation profiles , 2012, Genome Biology.

[13]  Hua Yu,et al.  COHCAP: an integrative genomic pipeline for single-nucleotide resolution DNA methylation analysis , 2013, Nucleic acids research.

[14]  Michael Q. Zhang,et al.  Comparison of sequencing-based methods to profile DNA methylation and identification of monoallelic epigenetic modifications , 2010, Nature Biotechnology.

[15]  G. Raidl,et al.  CyMATE: a new tool for methylation analysis of plant genomic DNA after bisulphite sequencing. , 2007, The Plant journal : for cell and molecular biology.

[16]  Peter A. Jones,et al.  The Epigenomics of Cancer , 2007, Cell.

[17]  Wei Li,et al.  BSMAP: whole genome bisulfite sequence MAPping program , 2009, BMC Bioinformatics.

[18]  Xia Li,et al.  QDMR: a quantitative method for identification of differentially methylated regions by entropy , 2011, Nucleic acids research.

[19]  Cole Trapnell,et al.  Ultrafast and memory-efficient alignment of short DNA sequences to the human genome , 2009, Genome Biology.

[20]  Tao Wang,et al.  RRBS‐Analyser: A Comprehensive Web Server for Reduced Representation Bisulfite Sequencing Data Analysis , 2013, Human mutation.

[21]  Natalie Jäger,et al.  Genome-wide mapping of DNA methylation : a quantitative technology comparison , 2012 .

[22]  K. Robertson DNA methylation and human disease , 2005, Nature Reviews Genetics.

[23]  T. Benoukraf,et al.  GBSA: a comprehensive software for analysing whole genome bisulfite sequencing data , 2012, Nucleic acids research.

[24]  Lee E. Edsall,et al.  Human DNA methylomes at base resolution show widespread epigenomic differences , 2009, Nature.

[25]  Felix Krueger,et al.  Bismark: a flexible aligner and methylation caller for Bisulfite-Seq applications , 2011, Bioinform..

[26]  B. Langmead,et al.  Aligning Short Sequencing Reads with Bowtie , 2010, Current protocols in bioinformatics.

[27]  T. Mikkelsen,et al.  Genome-scale DNA methylation maps of pluripotent and differentiated cells , 2008, Nature.

[28]  Yanqing Wang,et al.  Bioinformatics Applications Note Databases and Ontologies Waprna: a Web-based Application for the Processing of Rna Sequences , 2022 .

[29]  Pao-Yang Chen,et al.  BS Seeker: precise mapping for bisulfite sequencing , 2010, BMC Bioinformatics.

[30]  Ian M. Wilson,et al.  Chromosome-wide DNA methylation analysis predicts human tissue-specific X inactivation , 2011, Human Genetics.

[31]  Esteban Ballestar,et al.  Methyl-DNA immunoprecipitation (MeDIP): hunting down the DNA methylome. , 2008, BioTechniques.